NeurReps 2026: Symmetry and Geometry in Neural Representations

NeurReps, Symmetry and Geometry in Neural Representations, is a NeurIPS workshop that brings together mathematicians, machine learning researchers and neuroscientists working to uncover the geometric principles shared by brains and machines. In neuroscience, mounting evidence suggests that neural circuits encode task and environmental structure through low-dimensional manifolds, conserved symmetries and structured transformations; in deep learning, sparsity, equivariance and compositionality are guiding the development of more generalisable and interpretable models. Following editions from 2022 to 2025, NeurReps 2026 expands into geometric representation steering and geometric mechanistic interpretability and introduces a Findings track to foster collaboration between experimentalists and theorists, alongside an archival proceedings track published in a dedicated PMLR volume. The programme combines invited talks, contributed papers and a panel session on topology, geometry and neuroscience towards a unified framework. The workshop runs from 8:00 to 17:00 AEDT on Friday 11 December 2026 in Hall 4 of the International Convention Centre (ICC) Sydney. It is organised by Francisco Acosta, David Klindt, Louisa Cornelis, Alison Pouplin, Nina Miolane and Fatih Dinc.